Instead of trying to identify and censor specific "bad" content, a more effective strategy is to use non-targeted, "soft" approaches. This involves temporarily deranking any content spreading too quickly and injecting randomness into recommendation algorithms to break up echo chambers and soften feedback loops.

The modern information landscape is so saturated with noise, deepfakes, and propaganda that discerning the truth requires an enormous investment of time and energy. This high "cost" leads not to believing falsehoods, but to a general disbelief in everything and an inability to form trusted opinions.

Constant exposure to contradictory messages, much like a disinformation campaign, doesn't convince people of any single viewpoint. Instead, it makes them distrust all sources of advice and retreat into apathy, checking out from engagement altogether as a defense mechanism.

The erosion of trusted, centralized news sources by social media creates an information vacuum. This forces people into a state of 'conspiracy brain,' where they either distrust all information or create flawed connections between unverified data points.

The primary challenge for journalism today isn't its own decline, but the audience's evolution. People now consume media from many sources, often knowingly biased ones, piecing together their own version of reality. They've shifted from being passive information recipients to active curators of their own truth.

A content moderation failure revealed a sophisticated misuse tactic: campaigns used factually correct but emotionally charged information (e.g., school shooting statistics) not to misinform, but to intentionally polarize audiences and incite conflict. This challenges traditional definitions of harmful content.

Nuanced health discussions are lost on social media algorithms that reward extreme takes. While more experts should engage, the long-term solution is to build new platforms, likely AI-driven, that prioritize substance over engagement and aren't designed to exploit our primitive impulses for profit.

The old social contract, where trusted institutions delivered verified facts, is broken. Higgins argues we now live in a many-to-many system where institutions must compete for attention against the public on platforms that algorithmically reward engagement over truth.

Conspiracy theories gain mainstream traction because social media platforms have a profit incentive to algorithmically elevate novel, engaging content. This amplification normalizes fringe ideas, making them seem self-evident and eroding institutional trust.